In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...
Abstract. We discuss an approach to reducing the number of events accepted by anomaly detection systems, based on alternative schemes for interest-ranking. The basic assumption is ...
Dealing with dependability requirements is a complex task for stakeholders and analysts as many different aspects of a system must be taken into account at the same time: services...
Paolo Donzelli, Daniel Hirschbach, Victor R. Basil...
This paper proposes the modeling and the performance analysis of a high-level control protocol – COCOP, which enables cooperative groups of clients to control a shared server de...
This paper presents preliminary results on the detection of cultural differences from people's experiences in various countries from two perspectives: tourists and locals. Ou...